Paper Title:
Automatic Landmark Detecting by Flickr Photo Clustering
  Abstract

In this paper, we concentrate on how to automatic detect landmarks of a city leveraging the community-contributed collections of rich media on the Web, as landmark for a given city could provide helpful information for tourist guides. Our approach only need the user to provide the city name, and then submit it to Flickr website to obtain photos and related metadata. Next, these Flickr photos are clustered by simultaneously integrating multiple types of metadata which are related to Flickr photos. Finally, landmarks are mined from the photos clustering results. Experiments conducted on the photos in Flickr demonstrate the effectiveness of the proposed approach and our approach could enhance the performance of tourist guiding systems greatly.

  Info
Periodical
Edited by
Ran Chen
Pages
3438-3442
DOI
10.4028/www.scientific.net/AMM.44-47.3438
Citation
Z. Liu, "Automatic Landmark Detecting by Flickr Photo Clustering", Applied Mechanics and Materials, Vols. 44-47, pp. 3438-3442, 2011
Online since
December 2010
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